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Volume4 ,December 2017.

Volume4,December 2017,

Topic : An Effective Approach for Diagnosis of Plant
Disease using ELM

Authors:S.Vijayalakshmi || D.Murugan

Abstract:The objective of this paper is to identify the diseases in the leaves of all plants. The detection of disease is one of the
crucial importance to increase the productivity of plants. Plant pathology is the scientific study of plant diseases, based on this
study, to identify the pathogen, and classification under different kind of circumstances. In existing, the automatic plant disease
detection without the training set using only prior knowledge. The proposed method, to use detects the diseases by using the ELM
(Extreme Learning Machine) techniques. In the above method, initially, the ABC Clustering has approached for segments the
affected area. Secondly, using TELP (Transform Encoded Local Pattern), Gradient Features, Color Histogram Techniques for
extracting the features from that affected area. Finally, these extracted features are given to the ELM classifier to get the exact type of
disease affected by a leaves.